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Title

A Hybrid Meta Heuristic Algorithm for Discovering Classification Rule in Data Mining

Author

K.Rajiv Gandhi, S.M.Uma

Citation

Vol. 12  No. 1  pp. 106-112

Abstract

The meta heuristics provide acceptable solutions in a reasonable time for solving hard and complex problems in medical, science and engineering. In this paper we present a meta heuristic based technique for mining rule over a medical data base were the use of the ABC and PSO algorithm as new tool for data mining particularly in classification task. This new found tool, hybrid ABC and PSO, surely help the medical fraternity and diagnosis. The diagnosis quickly and accurately by applying the hybrid Meta heuristic algorithm. The proposed algorithm is compared with an existing algorithm.

Keywords

Meta Heuristic, Classification Rule mining, Artificial Bee Colony, Particle Swarm Optimization

URL

http://paper.ijcsns.org/07_book/201201/20120116.pdf